The maximum traffic intensity supported by a low earth orbit（LEO） mobile satellite system（MSS）（LEO-MSS） is important in practical application for providing satisfactory service. An analytical approach is propose...The maximum traffic intensity supported by a low earth orbit（LEO） mobile satellite system（MSS）（LEO-MSS） is important in practical application for providing satisfactory service. An analytical approach is proposed for determining the maximum traffic intensity of guaranteed handover（GH） scheme and channel complete sharing（CCS） scheme in LEO-MSS under quality of service（Qo S） constraints. By evaluating performance of these two schemes, the relationship between the traffic intensity and the Qo S constraints is established. The expressions of maximum traffic intensity of GH scheme and CCS scheme are deduced. Compared with the traditional method, the proposed analytical approach is more computationally efficient owing to the needlessness of the repeated iteration calculation. It also avoids the complex choice of the initial value of new call traffic intensity and its increment. Lastly, the accuracy and validity of the analysis approach have been verified by computer simulations.展开更多
基金supported by the National Natural Science Foundation of China (61272518)the Beijing Key Laboratory of Work Safety Intelligent Monitoring (Beijing University of Posts and Telecommunications)
文摘The maximum traffic intensity supported by a low earth orbit（LEO） mobile satellite system（MSS）（LEO-MSS） is important in practical application for providing satisfactory service. An analytical approach is proposed for determining the maximum traffic intensity of guaranteed handover（GH） scheme and channel complete sharing（CCS） scheme in LEO-MSS under quality of service（Qo S） constraints. By evaluating performance of these two schemes, the relationship between the traffic intensity and the Qo S constraints is established. The expressions of maximum traffic intensity of GH scheme and CCS scheme are deduced. Compared with the traditional method, the proposed analytical approach is more computationally efficient owing to the needlessness of the repeated iteration calculation. It also avoids the complex choice of the initial value of new call traffic intensity and its increment. Lastly, the accuracy and validity of the analysis approach have been verified by computer simulations.
